As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

Meijer Rewards

• Weekly pay

• Scheduling flexibility

• Paid parental leave 

• Paid education assistance

• Team member discount

• Development programs for advancement and career growth

Please review the job profile below and apply today!

What You'll Be Doing:

• You will architect, design, and review implementation details for a specific domain within the company’s AI solutions.
• Designs, codes, and implements new industry leading design patterns in domain specific code bases, to create the convention/technique/practice that teams are accountable to follow.
• Mentors specific domain engineering teams on principles and best practices. 
• Provides engineering strategy to ensure code modernization and industry standard patterns for specific domain.
• Builds proof of concepts (POCs) that are production ready.
• Provides guidance to development teams within domain requirements.
• Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to the specific domain.
• Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.
• Defines and evolves reference architectures for AI & Automation workloads on the Microsoft Azure stack — including Azure OpenAI, Azure AI Foundry, Retrieval-Augmented Generation (RAG) at scale, agentic and multi-agent orchestration, Model Context Protocol (MCP) tool integration, and Microsoft Copilot Studio — ensuring alignment with Enterprise Architecture and security standards.
• Guides LLMOps and responsible AI practices across domains — including evaluation harnesses, guardrails and content safety, model routing and fallback, PTU/quota capacity planning, and cost optimization — and leads architectural reviews of AI/GenAI solutions prior to production deployment.

What You Bring with You (Qualifications):

• Bachelor’s (or comparable combination of education and related experience).
• 5+ years of progressive responsibility in an IT environment with demonstrated technical knowledge which provides the necessary skills, knowledge, and abilities.
• Advanced knowledge of software development best practices.
• Experience in the retail industry or in a production/service environment is preferred.
• Exposure to a wide variety of software project management methodologies and frameworks with a deep understanding of agile development methodologies.
• Successfully developed and implemented applications in new computing architecture environments using new and emerging technologies.
• Developed efficient and effective solutions to diverse and complex business problems
• Technical team leadership experience.
• Experience in Scaled Agile framework is preferred.
• Experience with multiple, diverse technical configurations, technologies, and processing environments.
• Experience with structured design, development and implementation of new and established computing architectures.
• Enterprise-scale experience architecting AI or GenAI solutions on the Microsoft Azure stack (Azure OpenAI, Azure AI Foundry, AKS, Azure Functions, Azure DevOps), including RAG, agentic and multi-agent orchestration, Model Context Protocol (MCP), and LLM evaluation frameworks, is preferred.
• Working knowledge of LLMOps, responsible AI governance (model risk, content safety, data privacy), and cost/capacity management (PTUs, quotas, model routing) for production AI platforms is preferred.
• Experience guiding teams through AI-assisted and spec-driven development, context/prompt engineering standards, and evaluating GenAI frameworks such as LangChain/LangGraph, Semantic Kernel, or AutoGen is preferred.